QQ客服 官方微博 反馈留言

	Variable selection and weighted composite quantile estimation of regression parameters with left-truncated data
	Yao, Mei; Wang, Jiang-Feng; Lin, Lu; Wang, Yu-Xin
刊名	COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
	2018
卷号	47期号:18页码:4469-4482
关键词	Asymptotic normality composite quantile regression left-truncated data oracle property variable selection
DOI	10.1080/03610926.2017.1376089
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4566832
专题	山东大学
作者单位	1.Hefei Univ Technol, Sch Math, Hefei, Anhui, Peoples R China. 2.Zhejiang Gongshang Univ, Dept Stat, Hangzhou, Peoples R
推荐引用方式 GB/T 7714	Yao, Mei,Wang, Jiang-Feng,Lin, Lu,et al. Variable selection and weighted composite quantile estimation of regression parameters with left-truncated data[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,2018,47(18):4469-4482.
APA	Yao, Mei,Wang, Jiang-Feng,Lin, Lu,&Wang, Yu-Xin.(2018).Variable selection and weighted composite quantile estimation of regression parameters with left-truncated data.COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,47(18),4469-4482.
MLA	Yao, Mei,et al."Variable selection and weighted composite quantile estimation of regression parameters with left-truncated data".COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 47.18(2018):4469-4482.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。